Yale Bulldogs
2023 Team Stats (3 games)
63.7
PPG
57.7
Opp
+6.0
Margin
36.6%
FG%
32.7%
3P%
71.9%
FT%
40.0
RPG
15.3
APG
14.7
TO
84.0
Pace
Model Outputs
2022-2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 973 (#266) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 977 (#264) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.8 (#259) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.178 (#297) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | Houston Christian Huskies | L | 61 - 68 |
| 2022-12-13 | vs | Boston University Terriers | W | 58 - 46 |
| 2023-01-16 | @ | Brown Bears | W | 72 - 59 |
2023 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Clark
|
G | 3 | 36.0 | 16.3 | 5.3 | 8.0 | 3.0 | 0.3 | 4.7 | 14.0 | 14.3 | - | - | - | 38.1 | 33.3 | 92.3 | - | 51.3 | 44.0 |
H. Sabol
|
F | 2 | 20.5 | 11.0 | 4.0 | 2.0 | 1.5 | 0.0 | 0.0 | 8.5 | 10.0 | - | - | - | 52.9 | 100.0 | 50.0 | - | 58.6 | 58.8 |
M. Egger
|
G | 3 | 28.3 | 10.7 | 5.0 | 2.0 | 0.7 | 2.0 | 1.7 | 10.0 | 8.7 | - | - | - | 46.7 | 0.0 | 57.1 | - | 48.4 | 46.7 |
K. Capstraw
|
F | 3 | 29.0 | 10.3 | 5.3 | 0.0 | 1.0 | 0.0 | 1.3 | 9.0 | 6.3 | - | - | - | 33.3 | 46.2 | 87.5 | - | 50.8 | 44.4 |
G. Thybulle
|
F | 3 | 14.3 | 6.3 | 3.7 | 0.3 | 0.7 | 1.0 | 1.7 | 7.7 | 2.7 | - | - | - | 30.4 | 0.0 | 83.3 | - | 37.1 | 30.4 |
K. Astrom
|
G | 3 | 25.0 | 5.0 | 3.7 | 1.3 | 1.0 | 0.0 | 1.7 | 5.3 | 4.0 | - | - | - | 25.0 | 40.0 | 50.0 | - | 36.8 | 31.2 |
C. McCann
|
G | 1 | 20.0 | 3.0 | 2.0 | 2.0 | 2.0 | 0.0 | 3.0 | 3.0 | 3.0 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
A. Lee
|
G | 2 | 10.0 | 3.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 2.5 | 0.5 | - | - | - | 40.0 | 0 | 66.7 | - | 47.5 | 40.0 |
N. McGill
|
G | 3 | 22.3 | 2.7 | 5.7 | 0.7 | 1.7 | 0.0 | 0.7 | 2.0 | 8.0 | - | - | - | 50.0 | 0 | 50.0 | - | 51.5 | 50.0 |
E. van der Maas
|
G | 3 | 14.7 | 2.0 | 3.7 | 1.0 | 0.3 | 0.3 | 1.0 | 4.0 | 2.3 | - | - | - | 16.7 | 0.0 | 100.0 | - | 23.3 | 16.7 |
B. McDonald
|
F | 2 | 5.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG